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capture the full complexity of processes in midlatitude stratocumulus. These will range from the kilometre scale down to micrometre scale at which turbulence influences the rate at which cloud droplets
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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innovative campus in the Netherlands, in an international and open working environment. Selection process For more information about the position, please contact Prof. Mark Aarts, via 0317-485413 or email
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do, both in your work and in your development. Read more about our terms of employment . Selection process At Utrecht University, we strive to be a place where everyone feels at home. We value
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy
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focus on how atmospheric and oceanic conditions affect turbine performance and power production, significantly less is known about how large offshore wind farms modify atmospheric and oceanic processes
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If you have any questions about accessibility, for example regarding your workplace Vening Meineszgebouw A external link , the application process or your work, please contact us via our HR contact page
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biochemical reconstitution, fluorescence microscopy and structural biology to determine how this process is regulated at the molecular level. The project will make extensive use of the group’s in-house Talos